Development of a novel sugaring-out assisted extraction (SoAE) method for zinc determination in milk samples by flame atomic absorption spectrometry with discrete sample introduction.

This study presents a method for determining zinc in milk using flame atomic absorption spectrometry (FAAS) after separation by a novel sugaring-out assisted extraction (SoAE) technique. Zinc(II) was extracted as a diethyldithiocarbamate (DDTC) complex into acetonitrile, with phase separation induced by adding sucrose. In addition to optimizing the system for discrete introduction of the extract in FAAS, key parameters related to the extraction process, such as DDTC concentration, solution pH, and sucrose mass, were investigated.

Incidence, Prevalence, and Stability of Remission in Individuals With Clinical High Risk for Psychosis.

Importance: While remission from clinical high risk (CHR) for psychosis is a favorable outcome, it is not well characterized over time.

Objective: To examine remission incidence, prevalence, and stability, and their association with demographic, clinical, medication, and cognitive variables, comparing 2 commonly used definitions.

Design, Setting, And Participants: This cohort study examined data from individuals aged 12 to 30 years at CHR in the North American Prodromal Longitudinal Study 3, collected from 9 sites across the US from February 2015 to November 2018.

Gastric Adenocarcinoma and Synchronic Mantle Cell Lymphoma: A Case Report.

The synchronous coexistence of primary neoplasms with diverse histogeneses in the gastrointestinal tract is rare, particularly the association between gastric adenocarcinoma and mantle cell lymphoma (MCL). Gastric adenocarcinoma is a common neoplasm, often associated with risk factors such as Helicobacter pylori infection and poor eating habits. Notably, MCL is an uncommon and aggressive type of non-Hodgkin's lymphoma, accounting for approximately 5% of lymphoma diagnoses.

Emergency and persistence of Escherichia coli ST131 as community-onset antimicrobial resistant urinary tract infection in Rio de Janeiro, Brazil.

Urinary Tract Infections (UTI) are among the most common public health problems worldwide, mostly caused by Escherichia coli. High-risk pandemic clones, especially ST131, are known for their association with multidrug resistance. A better understanding of epidemiologic and molecular characteristics may provide insights into the dissemination and evolution of this pathogen.

Data analysis strategies for the Accelerating Medicines Partnership® Schizophrenia Program.

The Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ) project assesses a large sample of individuals at clinical high-risk for developing psychosis (CHR) and community controls. Subjects are enrolled in 43 sites across 5 continents. The assessments include domains similar to those acquired in previous CHR studies along with novel domains that are collected longitudinally across a period of 2 years.

Environmental Dissemination of SARS-CoV-2: An Analysis Employing Crassphage and Next-Generation Sequencing Protocols.

This study aimed to investigate the dissemination of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in water samples obtained during the coronavirus disease 2019 pandemic period, employing cross-assembly phage (crAssphage) as a fecal contamination biomarker and next-generation sequencing protocols to characterize SARS-CoV-2 variants. Raw wastewater and surface water (stream and sea) samples were collected for over a month in Rio de Janeiro, Brazil. Ultracentrifugation and negatively charged membrane filtration were employed for viral concentration of the wastewater and surface water samples, respectively.

Multimodal fusion of brain signals for robust prediction of psychosis transition.

The prospective study of youths at clinical high risk (CHR) for psychosis, including neuroimaging, can identify neural signatures predictive of psychosis outcomes using algorithms that integrate complex information. Here, to identify risk and psychosis conversion, we implemented multiple kernel learning (MKL), a multimodal machine learning approach allowing patterns from each modality to inform each other. Baseline multimodal scans (n = 74, 11 converters) included structural, resting-state functional imaging, and diffusion-weighted data.

Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI.

Data collection, curation, and cleaning constitute a crucial phase in Machine Learning (ML) projects. In biomedical ML, it is often desirable to leverage multiple datasets to increase sample size and diversity, but this poses unique challenges, which arise from heterogeneity in study design, data descriptors, file system organization, and metadata. In this study, we present an approach to the integration of multiple brain MRI datasets with a focus on homogenization of their organization and preprocessing for ML.

The S1 subunits of SARS-CoV-2 variants differentially trigger the IL-6 signaling pathway in human brain endothelial cells and downstream impact on microglia activation.

Objectives: Cerebrovascular complications are prevalent in COVID-19 infection and post-COVID conditions; therefore, interactions of SARS-CoV-2 with cerebral microvascular cells became an emerging concern.

Methods: We examined the inflammatory responses of human brain microvascular endothelial cells (HBMEC), the main structural element of the blood-brain barrier (BBB), following exposure to the S1 subunit of the spike protein of different SARS-CoV-2 variants. Specifically, we used the S1 subunit derived from the D614 variant of SARS-CoV-2, which started widely circulating in March of 2020, and from the Delta variant, which started widely circulating in early 2021.

Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis.

This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community.

Critical Phase Dualities in 1D Exactly Solvable Quasiperiodic Models.

We propose a solvable class of 1D quasiperiodic tight-binding models encompassing extended, localized, and critical phases, separated by nontrivial mobility edges. Limiting cases include the Aubry-André model and the models of Sriram Ganeshan, J. H.

Development of bioenergy technologies: A scientometric analysis.

Bioenergy has the potential to substitute the current demand for fossil fuels in various applications. Recovering energy from bio-based materials due to environmental considerations has been adopted as a policy objective by governments and international organizations, which led to both vast financial investment and scientific research, especially in the last two decades. So far, various feedstocks and technologies have been scrutinised by the research community, although not all of them are commercially adopted due to sustainability considerations.

Effect of Tooth Brushing Cycles and Dentifrice Fluoride Concentration on a Glazed CAD/CAM Ceramic.

Purpose: To evaluate the effect of tooth brushing and dentifrice fluoride (F-) concentration on changes in color and translucency (ΔE00 and ΔT00, respectively), surface gloss (GS), surface roughness (Sa), and microstructure of a glazed CAD/CAM ceramic.

Materials And Methods: Ceramic blocks (e.max/CAD) were sectioned into rectangular plates (14 x 12 x 1 mm), and one surface of each sample was glazed.

Improved Pathologic response to chemoradiation in MGMT methylated locally advanced rectal cancer.

Background And Purpose: With the growing interest in total neoadjuvant treatment for locally advanced rectal adenocarcinoma (LARC) there is an urgent unmet need to identify predictive markers of response to long-course neoadjuvant concurrent chemoradiotherapy (LCRT). O6-Methylguanine (O6-MG)-DNA-methyltransferase (MGMT) gene methylation has been associated in some malignancies with response to concurrent chemoradiotherapy. We attempted to find if pathologic response to LCRT was associated with MGMT promoter hypermethylation (MGMTh).

Understanding livelihood changes in the charcoal and baobab value chains during Covid-19 in rural Mozambique: The role of power, risk and civic-based stakeholder conventions.

Non-pharmaceutical interventions (NPIs) to reduce the transmission of Covid-19 had different repercussions for domestic, regional and global value chains, but empirical data are sparse on specific dynamics, particularly on their implications for value-chain stakeholders' local livelihoods. Through research including weekly phone interviews (n = 273 from May to July 2020) with panellists in six Mozambican communities, our research traced firstly how the baobab and charcoal value chains were affected by Covid NPIs, particularly in terms of producers' livelihoods. Secondly, we ask how our findings advance our understanding of the role of civic-based stakeholder conventions and different types of power in building viable local livelihoods.

Assessment of virus concentration methods for detecting SARS-CoV-2 IN wastewater.

Wastewater-based epidemiology has been described as a valuable tool for monitoring the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a community. However, there is no consensus on the best concentration method to allow reliable detection of SARS-CoV-2 in this matrix, considering different laboratory facilities. This study compares two viral concentration methods, ultracentrifugation (ULT) and skimmed-milk flocculation (SMF), for detecting SARS-CoV-2 in wastewater samples.

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition.

Every year, the VISion Understanding and Machine intelligence (VISUM) summer school runs a competition where participants can learn and share knowledge about Computer Vision and Machine Learning in a vibrant environment. 2021 VISUM's focused on applying those methodologies in fashion. Recently, there has been an increase of interest within the scientific community in applying computer vision methodologies to the fashion domain.

Symmetry-based regularization in deep breast cancer screening.

Breast cancer is the most common and lethal form of cancer in women. Recent efforts have focused on developing accurate neural network-based computer-aided diagnosis systems for screening to help anticipate this disease. The ultimate goal is to reduce mortality and improve quality of life after treatment.

Doppler echocardiography in a healthy, non-sedated Southern Sea Lion (Otaria flavescens) - a preliminary approach about the feasibility and clinical utility.

Echocardiography is commonly used in veterinary clinical practice for many species but is not as easily applied in non-sedated marine mammals. Additionally, Doppler echocardiography provides further information on hemodynamics, estimation of cardiac output, characterization of flow patterns, and diastolic function. However, its applications in marine mammals have not been as widely explored either.

Effect of build orientation in accuracy, flexural modulus, flexural strength, and microhardness of 3D-Printed resins for provisional restorations.

Purpose: This study evaluated the effects of 3D-printing build orientation on accuracy, flexural modulus (FM), flexural strength (FS), and microhardness of selected, commercial 3D-printed provisional resins (3DRs).

Material And Methods: PMMA CAD/CAM provisional material (Vita Temp/Vita) served as Control. Four 3DRs (Cosmos-SLA/Yller, Cosmos-DLP/Yller, PriZma-Bioprov/Makertech, Nanolab/Wilcos) were used in three printing orientations (0°, 45°, and 90°).